EMERALD: A Multi-Agent System for Knowledge-Based Reasoning Interoperability in the Semantic Web

Kravari, Kalliopi; Kontopoulos, Efstratios; Bassiliades, Nick

doi:10.1007/978-3-642-12842-4_21

Cited by 34 publications

(16 citation statements)

References 8 publications

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“…For practical grounds, this methodology was integrated into EMERALD [10], maximizing its efficiency. In this section we briefly review the features of EMERALD needed for comprehension.…”

Section: Knowledge-based Implementationmentioning

confidence: 99%

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Choreographing agent encounters in the Semantic Web using rules

Kravari

Bassiliades

Papavasileiou

2014

Journal of Intelligent &Amp; Fuzzy Systems

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In order for automated agent-based e-Commerce transactions to blossom, well-defined, analyzable and easily customizable interaction protocols or choreographies of involved parties need to be developed. Although, several domain-depended protocols have already been developed, efficient methodologies and technologies for facilitating the definition, deployment, reuse and maintenance of interaction protocols should be developed. This paper proposes a rule-based, reusable, analyzable and easily comprehensible by the user choreography definition methodology, called K-SWAN. Ôhe proposed choreography scheme separates the definition of the agent shared interaction protocol from the private agent interaction strategy and enables agents to choose the appropriate protocol for the transaction, from a library of re-usable interaction protocols, and automatically combine it with their personal strategy, from a private library, by using SW technologies for both. Complying with K-SWAN methodology will let agents participate seamlessly in different interaction processes and/or modify their behavior with a minimal programming effort. Finally, this paper presents the integration of the K-SWAN methodology into EMERALD, a multi-agent knowledge-based framework based on SW standards, which maximizes reusability and interoperability of behavior between agents.

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“…For practical grounds, this methodology was integrated into EMERALD [10], maximizing its efficiency. In this section we briefly review the features of EMERALD needed for comprehension.…”

Section: Knowledge-based Implementationmentioning

confidence: 99%

“…Hence, this article presents the integration of the K-SWAN methodology into EMERALD, a multi-agent knowledge-based framework [10] based on SW standards, which maximizes reusability and interoperability of behavior between agents.…”

Section: Introductionmentioning

confidence: 99%

Choreographing agent encounters in the Semantic Web using rules

Kravari

Bassiliades

Papavasileiou

2014

Journal of Intelligent &Amp; Fuzzy Systems

Self Cite

View full text Add to dashboard Cite

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“…EMERALD is a multi-agent knowledge-based framework [2], which offers flexibility, reusability and interoperability of behavior between agents, based on Semantic Web and FIPA language standards. The main advantage of this approach is that it provides a safe, generic, and reusable framework for modeling and monitoring agent communication and agreements.…”

Section: Emerald: a Multi-agent Knowledge-based Frameworkmentioning

confidence: 99%

“…At present, a number of multi-agent systems are available; however they are typically isolated, as their organizational philosophy and architecture is different and their agents usually do not share the same logic or rule representation formalism. In this work two such multi-agent systems, EMERALD [2] and Rule Responder [4], have been made interoperable through appropriately defined gateways, which could be reused in a variety of interoperation scenarios. Each agent, whether it belongs to EME-RALD or to Rule Responder, has its own policy, a set of private rules representing its requirements, obligations and restrictions, as well as its personal knowledge about the world.…”

Section: Introductionmentioning

confidence: 99%

Cross-Community Interoperation between the EMERALD and Rule Responder Multi-Agent Systems

Kravari

Osmun²,

Boley³

et al. 2011

Rule-Based Reasoning, Programming, and Applications

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“…Examples of this domain are e.g. JADE/Jess agent [4], Vivid Agents [16], OPAL Agents [18] and Emerald [10]. While these approaches use their own proprietary agent runtime environments and rule engines, Rule Responder aims at a more general approach using established and highly efficient enterprise service and messaging technologies based on standard Internet transport technologies.…”

Section: Related Workmentioning

confidence: 99%

Principles of the SymposiumPlanner Instantiations of Rule Responder

Zhao

Paschke

Ali

et al. 2011

Rule-Based Modeling and Computing on the Semantic Web

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EMERALD: A Multi-Agent System for Knowledge-Based Reasoning Interoperability in the Semantic Web

Cited by 34 publications

References 8 publications

Choreographing agent encounters in the Semantic Web using rules

Choreographing agent encounters in the Semantic Web using rules

Cross-Community Interoperation between the EMERALD and Rule Responder Multi-Agent Systems

Principles of the SymposiumPlanner Instantiations of Rule Responder

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